Zobrazeno 1 - 10
of 22
pro vyhledávání: '"S. M. Jaisakthi"'
Publikováno v:
Network Modeling Analysis in Health Informatics and Bioinformatics. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e987841301da33d20b71c83062a6dd
https://doi.org/10.1007/s13721-023-00417-2
https://doi.org/10.1007/s13721-023-00417-2
Publikováno v:
Multimedia Tools & Applications; Apr2023, Vol. 82 Issue 10, p15763-15778, 16p
Autor:
S. M. Jaisakthi, P. R. Dhanya
Publikováno v:
Communication and Intelligent Systems ISBN: 9789811921292
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25d69b1442d929b188d4586ad6d48dfa
https://doi.org/10.1007/978-981-19-2130-8_59
https://doi.org/10.1007/978-981-19-2130-8_59
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030925994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::814f8957aad27b52df01eef46ceda569
https://doi.org/10.1007/978-3-030-92600-7_16
https://doi.org/10.1007/978-3-030-92600-7_16
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 15:2405-2409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ecbff207239ed8dbda271a6fc783e8c
https://doi.org/10.1166/jctn.2018.7478
https://doi.org/10.1166/jctn.2018.7478
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 15:2410-2414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d357f92f8ec99fc54dd93d472f60e05
https://doi.org/10.1166/jctn.2018.7479
https://doi.org/10.1166/jctn.2018.7479
This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that ca
SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthro
Publikováno v:
Multimedia Systems. 25:83-93
Identification of stenosis in computed tomography angiography (CTA) image of a heart is a challenging task. In this paper, we propose an automated support vector machine (SVM) based approach that detects the branches and stenosis in 2D projection ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70e959dcf90d9f33e20b37b04770c287
https://doi.org/10.1007/s00530-017-0578-1
https://doi.org/10.1007/s00530-017-0578-1